论文著作:
[1] Xiaoxiao Song, Xiangyun Qiao, Dongmei Hao* et al. Automatic Recognition of Uterine Contractions with Electrohysterogram Signals Based on the Zero-Crossing Rate. Scientific Reports. 2021
[2] Jin Peng, Dongmei Hao*, Lin Yang et al. Evaluation of electrohysterogram measured from different gestational weeks for recognizing preterm delivery: a preliminary study using random Forest. biocybernetics and biomedical engineering, 2020, 40:1–11
[3] Dongmei Hao*, Qian Qiu, Xiya Zhou et al. Application of decision tree in determining the importance of surface electrohysterography signal characteristics for recognizing uterine contractions. Biocybernetics and biomedical engineering, 2019, 39: 806– 813
[4] Dongmei Hao*, Jin Peng, Ying Wang et al. Evaluation of convolutional neural network for recognizing uterine contractions with electrohysterogram. Computers in Biology and Medicine. 2019, 113: 103394
[5] Dongmei Hao*, Yang An, Xiangyun Qiao et al. Development of Electrohysterogram Recording System for Monitoring Uterine Contraction. Journal of Healthcare Engineering, 2019, 4230157
[6] Jin Peng, Dongmei Hao*, Haipeng Liu et al. Preliminary study on the efficient electrohysterogram segments for recognizing uterine contractions with convolutional neural work. BioMed Research International. 2019, 3168541